“Generative Agents: Interactive Simulacra of Human Behavior”

Park, et al. arXiv:2304.03442v2 cs.HC (2023)

Imagine an agent capable of performing complex tasks, communicating, and acting, with all neural activities available, isn’t that fascinating? What can current agents do? What is their underlying neural architecture (including training)? Will this type of LLM-based agent be beneficial for future neuroscience research? We will discuss these questions in our next JC on June 7 at 10 a.m.

The AI & NS Journal Club discusses computational and theoretical neuroscience publications. There are no official presenters each time; instead, we present and discuss the paper in turns. This requires every attendee to read the paper in advance.

For inquiries contact Kaining Zhang or Zeyuan Ye.